A Bayesian transition model for missing longitudinal binary outcomes and an application to a smoking cessation study

Uses Software

BayesDA

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Marginalized Transition Models and Likelihood Inference for Longitudinal Categorical Data
Understanding predictive information criteria for Bayesian models
Misspecifying the shape of a random effects distribution: why getting it wrong may not matter
Missing data methods in longitudinal studies: a review
Simple marginally noninformative prior distributions for covariance matrices
A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data
Mitigating bias in generalized linear mixed models: the case for Bayesian nonparametrics
Analyzing incomplete discrete longitudinal clinical trial data
Componentwise adaptation for high dimensional MCMC
Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable
MULTILEVEL DISCRETE-TIME EVENT HISTORY MODELS WITH APPLICATIONS TO THE ANALYSIS OF RECURRENT EMPLOYMENT TRANSITIONS
A general multilevel multistate competing risks model for event history data, with an application to a study of contraceptive use dynamics
Missing Data in Longitudinal Studies
A Predictive Approach to Model Selection
Logistic regression for autocorrelated data with application to repeated measures
Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
Informative Drop-Out in Longitudinal Data Analysis
A Flexible Bayesian Approach to Monotone Missing Data in Longitudinal Studies With Nonignorable Missingness With Application to an Acute Schizophrenia Clinical Trial
Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
Fixed and Random Effects Selection in Linear and Logistic Models
Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

This page was built for publication: A Bayesian transition model for missing longitudinal binary outcomes and an application to a smoking cessation study